Lead Biomedical Data Scientist

4 days ago

Santa Clara, California, United States Precision Neuroscience Full time

**About the Role**

We are looking for a highly skilled Senior Manager/Director Machine Learning to join our Precision Neuroscience team. As a key contributor, you will play a crucial role in advancing our mission of creating transformative technologies that bridge the gap between the human brain and digital systems.

Your responsibilities will include developing and executing our machine learning strategy, leading the design and implementation of machine learning models, collaborating with cross-functional teams, and building a high-performance work environment. If you have a proven track record of shipping machine-learning based products in the healthcare space and possess strong leadership abilities, we encourage you to apply.

Key Responsibilities:**

  • Strategic Leadership: Develop and execute Precision Neuroscience's machine learning strategy aligned with the company's long-term product roadmap.
  • Machine Learning Model Design: Lead the design and implementation of machine learning models for decoding neural signals and optimizing closed-loop BCI applications.
  • Cross-Functional Collaboration: Collaborate with neuroscience, software engineering, hardware engineering, design, and product management teams to ensure seamless integration of machine learning solutions into our products.
  • Team Management and Development: Build, mentor, and manage a team of machine learning engineers and researchers, fostering a culture of innovation, continuous learning, and growth.
  • Research and Development: Drive collaborative research initiatives to explore cutting-edge machine learning methodologies, algorithms, and models tailored for BCI applications.
  • Project Management: Oversee the end-to-end development lifecycle of machine learning projects from ideation and data collection to timely model deployment and performance evaluation.
  • Data Management and Preprocessing: Lead efforts in data acquisition, cleaning, preprocessing, and feature extraction to ensure high-quality inputs for machine learning models.
  • Collaboration and Communication: Serve as a key liaison between the machine learning team and other departments, ensuring alignment on project goals and deliverables with both technical and non-technical stakeholders.
  • Innovation and Intellectual Property: Identify opportunities for innovation, creativity, and experimentation within the machine learning domain, contributing to the development of intellectual property and patents.

Skills and Qualifications:*

  • Ph.D. or Master's degree: In Computer Science, Electrical Engineering, Neuroscience, or a related field with a focus on machine learning, artificial intelligence, or signal processing.
  • At least 10+ years of experience: In machine learning, with at least 5+ years in industry working on machine-learning based products.
  • Proven track record: Of leading machine learning teams and projects, ideally within a start-up or fast-paced, innovative environment.
  • Extensive experience: In developing and deploying machine learning models, particularly in domains requiring the analysis of high-dimensional, time series data such as video or image data in real time.
  • Deep expertise: In machine learning algorithms, neural networks, deep learning frameworks, and statistical modeling.
  • Strong programming skills: In languages such as Python, C++, or MATLAB, with experience in handling large-scale data processing.
  • Strong experience: Working with time-series data, preferably in healthcare or other biomedical domains.
  • Familiarity: With BCI technology, neuroimaging data, and brain signal processing techniques.
  • Demonstrated ability: To lead and inspire a diverse team of engineers and researchers, fostering a collaborative and high-performance work environment.
  • Excellent communication skills: With the ability to articulate complex technical concepts to both technical and non-technical audiences.
  • Ability to think strategically: While also being hands-on, with a willingness to dive deep into technical details when necessary.

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